Information Systems Chapter 12: Business Analytics
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Questions and Answers

Which category of managerial decision making focuses on long-range goals and policies?

  • Operational control
  • Management control
  • Resource allocation
  • Strategic planning (correct)

What is an example of semi-structured decision making?

  • Inventory control
  • Purchasing equipment
  • Evaluating employees (correct)
  • Developing marketing strategies

Which of the following best describes business intelligence (BI)?

  • Analyses of past business performance to drive immediate actions
  • A single software tool for data analysis
  • A method of optimizing operational efficiency only
  • The infrastructure for data collection and analysis from multiple sources (correct)

Which BI tool is known for its analytics capabilities?

<p>SAP BI software (C)</p> Signup and view all the answers

Which of the following is NOT considered a bi-directional aspect of business intelligence?

<p>Random sampling (A)</p> Signup and view all the answers

What type of decision making is characterized by executing specific tasks efficiently?

<p>Operational control (D)</p> Signup and view all the answers

Which analytics tool is specifically called OLAP?

<p>Multidimensional analysis (D)</p> Signup and view all the answers

Which of the following terms relates to insights gained from examining past performance?

<p>Business analytics (B)</p> Signup and view all the answers

What is the primary function of Online Analytical Processing (OLAP)?

<p>To support complex analytical queries (B)</p> Signup and view all the answers

Which type of analysis does data mining NOT typically perform?

<p>Organizing data into categories (B)</p> Signup and view all the answers

Decision Support Systems (DSS) are primarily used for which of the following?

<p>Supporting judgments in problem-solving (C)</p> Signup and view all the answers

What does statistical procedures analysis NOT include?

<p>Time-series analysis (D)</p> Signup and view all the answers

Descriptive analytics primarily aims to achieve which of the following objectives?

<p>To summarize past events (C)</p> Signup and view all the answers

Which of the following is NOT a type of data mining?

<p>Statistical mining (C)</p> Signup and view all the answers

Which analysis method is specifically employed to determine unknown variables?

<p>Estimation analysis (D)</p> Signup and view all the answers

Which of the following best describes goal-seeking analysis?

<p>Achieving specific desired outcomes (A)</p> Signup and view all the answers

What is a primary characteristic of dashboards?

<p>They are user-friendly and supported by graphics. (C)</p> Signup and view all the answers

What capability allows users to view details at various levels on a dashboard?

<p>Drill down (B)</p> Signup and view all the answers

Which of the following best describes 'exception reporting'?

<p>It highlights deviations that exceed certain thresholds. (B)</p> Signup and view all the answers

What are the three basic roles that managers perform according to Mintzberg?

<p>Interpersonal, Informational, Decisional (D)</p> Signup and view all the answers

What do key performance indicators (KPIs) represent?

<p>Measures of critical success factors. (A)</p> Signup and view all the answers

In the context of dashboards, what does 'trend analysis' involve?

<p>Examining a short-, medium-, and long-term trend of KPIs. (D)</p> Signup and view all the answers

Which phase of the decision-making process involves selecting among alternatives?

<p>Choice (C)</p> Signup and view all the answers

What do geographic information systems primarily facilitate?

<p>Manipulation and display of data using digitized maps. (D)</p> Signup and view all the answers

Why do managers require IT support for decision-making?

<p>Most decisions must be made under time pressure. (A)</p> Signup and view all the answers

Which of the following phases is NOT part of the systematic decision-making process defined by Herbert Simon?

<p>Analysis (A)</p> Signup and view all the answers

What is a function of dashboards regarding key performance indicators?

<p>They track the latest data available on KPIs in real-time. (C)</p> Signup and view all the answers

How do dashboards assist in analyzing unstructured data?

<p>By providing visual tools to interpret complex information. (C)</p> Signup and view all the answers

What does 'problem structure' in decision making refer to?

<p>The classification of decisions as structured or unstructured. (C)</p> Signup and view all the answers

Descriptive analytics primarily focuses on which of the following?

<p>Analyzing past performance. (D)</p> Signup and view all the answers

Which of the following is NOT a role listed under the decisional category for managers?

<p>Leader (D)</p> Signup and view all the answers

In the context of business analytics, which type predicts outcomes based on historical data?

<p>Predictive analytics (B)</p> Signup and view all the answers

What is the primary focus of predictive analytics?

<p>Examining historical data to detect patterns (B)</p> Signup and view all the answers

Which analytics type goes beyond descriptive and predictive models by recommending courses of action?

<p>Prescriptive analytics (B)</p> Signup and view all the answers

Which of the following best describes diagnostic analytics?

<p>It examines data to answer 'Why did it happen?' (A)</p> Signup and view all the answers

What type of analysis would an airline use to understand why sales were low in a country?

<p>Diagnostic analytics (B)</p> Signup and view all the answers

Which of the following is NOT a field where predictive analytics is commonly applied?

<p>Data entry (A)</p> Signup and view all the answers

What technique would prescriptive analytics likely use to identify the best decision?

<p>Statistical simulation (B)</p> Signup and view all the answers

What does descriptive analytics primarily use to convey information?

<p>Visual reports like charts and graphs (A)</p> Signup and view all the answers

Which statement about prescriptive analytics is true?

<p>It provides recommendations based on data analysis. (C)</p> Signup and view all the answers

Flashcards

Operational Control

Efficiently and effectively executing specific tasks.

Management Control

Decisions about acquiring and using resources to meet goals.

Strategic Planning

Long-term decisions about organizational goals and growth.

Business Analytics (BA)

Using past data to understand business performance and find opportunities.

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Business Intelligence (BI)

Infrastructure for collecting, storing, and analyzing company data.

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Data Mining

Finding hidden patterns and relationships in data.

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Multidimensional Analysis (OLAP)

Analyzing data from multiple perspectives.

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Decision Support Systems

Systems that help in decision-making, often using software like Excel.

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Business Analytics Process

A systematic process of problem-solving and decision-making using data and analysis.

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Descriptive Analytics

Summarizing and describing existing data to understand past patterns and trends.

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Diagnostic Analytics

Examining patterns and relationships in data to identify causes of past events or outcomes.

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Predictive Analytics

Forecasting future outcomes or trends based on historical data and patterns.

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Prescriptive Analytics

Recommending actions or decisions to achieve desired outcomes based on data analysis.

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Manager's Roles

Managers have interpersonal (figurehead, leader, liaison), informational (monitor, disseminator, spokesperson, analyzer), and decisional (entrepreneur, disturbance handler, resource allocator, negotiator) roles.

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Decision Making Process

A systematic approach to choosing among options, composed of recognizing the need for a decision; generating alternatives ; evaluating alternatives; choosing an alternative; and implementing and evaluating the results.

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Decision

A choice between different alternatives.

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OLAP

A technology for organizing large business databases and supporting complex analysis; used for complex queries without affecting transactional systems.

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DSS

Computer programs to support decisions and actions in an organization by analyzing large amounts of data.

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Statistical Procedures

Using data to test relationships between multiple data sets.

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Estimation Analysis

A statistical technique used to determine an unknown variable in a dataset.

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Cluster Analysis

Dividing data points into groups.

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Classification Analysis

Organizing data into categories for efficient use.

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Optimization

Finding the best solution from many options.

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Simulation

Creating a model to test different scenarios and outcomes.

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Decision Trees

A flowchart-like model that helps in decision-making.

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Dashboards

Interactive tools that provide easy access to timely information and key business metrics, often using visuals like graphs and charts.

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Drill Down

The ability to explore details within data by clicking on elements, revealing more specific information.

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Key Performance Indicators (KPIs)

Specific measures that track progress towards achieving critical business goals. They reflect the success factors of a company.

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Exception Reporting

Alerts and reports that highlight significant deviations from expected performance levels, drawing attention to issues that require investigation.

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Geographic Information Systems (GIS)

Computer-based systems that use maps and location data to visualize, analyze, and manage geographical information.

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Geocoding

The process of associating geographical locations with specific data records, allowing us to view and analyze information on a map.

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Dark Analytics

The analysis of unstructured data that is often hidden or ignored, but can provide valuable insights into user behavior, trends, and patterns.

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How can dashboards facilitate the analysis of unstructured data?

Dashboards can be enhanced to handle unstructured data by incorporating visualizations, text mining tools, and sentiment analysis capabilities. This allows for the extraction of meaningful information from diverse sources like social media posts, reviews, and customer feedback.

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Study Notes

Introduction to Information Systems - Chapter 12: Business Analytics

  • This chapter covers business analytics, a crucial aspect of information systems
  • Learning objectives include defining and exemplifying descriptive, diagnostic, predictive, and prescriptive analytics, along with presentation tools
  • The chapter outlines definitions, concepts, tools, the business analytics process, and presentation tools related to business analytics

Manager's Job and Decision Making

  • Managers perform interpersonal, informational, and decisional roles
  • Interpersonal: figurehead, leader, liaison
  • Informational: monitor, disseminator, spokesperson, analyzer
  • Decisional: entrepreneur, disturbance handler, resource allocator, negotiator
  • A decision is a choice among alternatives, and decision-making is a systematic process
  • Herbert Simon's decision-making process involves intelligence, design, choice, implementation, and evaluation

Why Managers Need IT Support

  • The number of alternatives for decisions is growing rapidly
  • Decisions often need to be made under time pressure
  • Decisions are becoming more complex in nature
  • Decision-makers, as well as the information they use, can be dispersed geographically

Framework for Computerized Decision Analysis

  • Decisions are categorized based on structure (structured, semi-structured, unstructured) and nature (operational control, management control, strategic planning)
  • Structured decisions involve clearly defined procedures, like accounts receivable
  • Semi-structured decisions have some predefined procedures and other parts that need to be analyzed, for instance scheduling
  • Unstructured decisions lack clear procedures and are often unique, such as selecting a magazine cover
  • Different types of decisions need different support tools

Problem Structure

  • Decision-making processes vary based on problem structure ranging from highly structured to highly unstructured
  • Examples provided include inventory control (structured) and evaluating employees (semi-structured) and new services (unstructured)

Nature of Decisions

  • Operational control deals with executing tasks effectively
  • Management control involves resource acquisition and utilization for organizational goals
  • Strategic planning focuses on long-term goals and resource allocation

Business Intelligence Tools

  • Business intelligence (BI) tools collect, store, and analyze data from multiple sources to help strategic decision-making
  • Examples of BI tools include SAS, IBM SPSS, SAP BI, and Microsoft Power BI software

Concepts

  • Business analytics (BA) uses skills, technologies, and practices to analyze past business performances for insights
  • Business intelligence (BI) refers to the infrastructure that collects, stores, and analyzes data from a company's activities; a broad term encompassing business analysis, process analysis, text mining, performance management, and benchmarking

Business Analytics Tools – OLAP

  • Online analytical processing (OLAP) is a technology that organizes large business databases and supports complex analysis without impacting transactional systems
  • OLAP cubes are multi-dimensional arrays of data enabling complex analytical queries

Business Analytics Tools – Data Mining

  • Data mining identifies anomalies, patterns, and correlations in large datasets to predict outcomes.
  • Data mining includes various types, such as pictorial, text, social media, web, audio, and video mining

Business Analytics Tools – DSS

  • Decision support systems (DSS) are computerized programs that aid in decision-making and action courses by sifting and analyzing massive amounts of data
  • Spreadsheets can also be used as DSS

Business Analytics Tools – Statistical Procedures

  • Statistical procedures use data to test relationships between two or more data sets
  • Techniques include estimation analysis, cluster analysis, and classification analysis

The Business Analytics Process

  • The business analytics process involves descriptive, predictive, and prescriptive analytics
  • Descriptive analytics examines what has happened (data mining, OLAP, DSS)
  • Predictive analytics anticipates future events using historical data (data mining, linear/multiple/logistic regression)
  • Prescriptive analytics recommends actions and outcomes based on predictions (optimization, simulation, decision trees)

Diagnostic Analytics

  • Diagnostic analytics determines the reasons behind past events (drill-down, data discovery, data mining)

Descriptive vs. Predictive vs. Prescriptive Analytics

  • Descriptive analytics describes past performance
  • Predictive analytics identifies future trends and outcomes
  • Prescriptive analytics suggests best decisions or courses of action

IT's About Business

  • The role of IT in integrating UPS operations and how wireless technologies enabled operational improvements through use of information systems

Presentation Tools

  • Dashboards provide easy access to timely information and management reports

Dashboard Capabilities

  • Drill-down: accessing details at various levels
  • CSFs: critical factors for business success
  • KPIs: key performance indicators
  • Status access: up-to-date data
  • Trend analysis: showing short-, medium-, and long-term patterns
  • Exception reporting: flagging deviations

Sample Performance Dashboard

  • Displays visualizations of website visits, costs, revenues, key performance indicators

Bloomberg Terminal

  • An example of a real-time data display platform

Management Cockpit

  • Provides an overview of key metrics for efficient decision-making

Geographic Information Systems (GIS)

  • GIS provides computer-based systems for capturing, manipulating, and displaying data with maps
  • Enables geocoding (assigning geographical locations) for each record

Closing Case: Dark Analytics

  • Discussion revolves around how dashboards facilitate the analysis of unstructured data and the types of dark data provided to internet and other IT systems

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Description

This quiz focuses on Chapter 12 of the Introduction to Information Systems, which delves into business analytics. It covers various types of analytics, the business analytics process, and the tools used for presentation. Additionally, the role of managers in decision-making processes is explored, highlighting the need for IT support in those roles.

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